Humans rely increasingly on sensors to address grand challenges and to improve quality of
life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are …

Wearable devices that monitor muscle activity based on surface electromyography could be
of use in the development of hand gesture recognition applications. Such devices typically …

Wearable sensors have demonstrated wide applications from medical treatment, health
monitoring to real-time tracking, human-machine interface, smart home, and motion capture …

Hand movement classification via surface electromyographic (sEMG) signal is a well-
established approach for advanced Human-Computer Interaction. However, sEMG …

Electromyography (EMG) is the process of measuring the electrical activity produced by
muscles throughout the body using electrodes on the surface of the skin or inserted in the …

This paper presents a wearable electromyographic gesture recognition system based on the
hyperdimensional computing paradigm, running on a programmable parallel ultra-lowpower …

Human-machine interaction is gaining traction in rehabilitation tasks, such as controlling
prosthetic hands or robotic arms. Gesture recognition exploiting surface electromyographic …

Wrist electromyography (EMG) signals have been explored for incorporation into subtle wrist-
worn wearable devices for decoding hand gestures. Previous studies have now shown that …

AI technologies have the potential to help deaf individuals communicate. Due to the
complexity of sign fragmentation and the inadequacy of capturing hand gestures, the …

Electromyogram (EMG) pattern recognition can be used to classify hand gestures and
movements for human-machine interface and prosthetics applications, but it often faces …